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考虑价格型需求响应的独立型微电网优化配置
引用本文:张有兵,任帅杰,杨晓东,包侃侃,谢路耀,戚军.考虑价格型需求响应的独立型微电网优化配置[J].电力自动化设备,2017,37(7).
作者姓名:张有兵  任帅杰  杨晓东  包侃侃  谢路耀  戚军
作者单位:浙江工业大学 信息工程学院,浙江 杭州 310023,浙江工业大学 信息工程学院,浙江 杭州 310023,浙江工业大学 信息工程学院,浙江 杭州 310023,浙江工业大学 信息工程学院,浙江 杭州 310023,浙江工业大学 信息工程学院,浙江 杭州 310023,浙江工业大学 信息工程学院,浙江 杭州 310023
基金项目:国家自然科学基金资助项目(51407160);浙江省自然科学基金资助项目(LY16E070005, LQ14E070001)
摘    要:为有效提高独立型微电网可再生能源消纳水平,根据独立型微电网内短期风光出力与负荷之间的供需关系提出一种动态分时电价机制,并基于替代弹性建立价格型需求响应模型;从经济性角度出发,计及电价引导下用户的用电行为,建立价格型需求响应参与的独立型微电网的优化配置模型,并采用遗传算法求解。以某海岛微电网为例进行仿真分析,算例结果表明:在独立型微电网优化配置中考虑价格型需求响应能够改善负荷特性,提高可再生能源的配置容量,减少储能和燃料发电机的使用,从而提高微电网的经济性。

关 键 词:独立型微电网  优化配置  替代弹性  价格型需求响应  动态分时电价

Optimal configuration considering price-based demand response for stand-alone microgrid
ZHANG Youbing,REN Shuaijie,YANG Xiaodong,BAO Kankan,XIE Luyao and QI Jun.Optimal configuration considering price-based demand response for stand-alone microgrid[J].Electric Power Automation Equipment,2017,37(7).
Authors:ZHANG Youbing  REN Shuaijie  YANG Xiaodong  BAO Kankan  XIE Luyao and QI Jun
Affiliation:College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China,College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China and College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Abstract:In order to effectively improve the accommodation level of renewable energy for stand-alone microgrid, a mechanism of dynamic TOU(Time-Of-Use) pricing based on the short-term stand-alone microgrid supply-demand relationship between PV/wind power output and load is proposed and a price-based demand response model based on the substitution elasticity is built. An optimal configuration model considering the price-based demand response is built for the stand-alone microgrid, which, in the view of economy, considers the power consumption behaviour of users incentivized by the dynamic TOU pricing and is solved by the genetic algorithm. Results of simulation for an island microgrid show that, the stand-alone microgrid configured by the proposed model improves the load characteristic, increases the accommodation level of renewable energy, reduces the installation of energy storage and diesel generator, and enhances the economy of microgrid.
Keywords:stand-alone microgrid  optimal sizing  substitution elasticity  price-based demand response  dynamic time-of-use pricing
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